W-S Min

1.3k citations
30 papers · 782 · h-index 15

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Renal Transplantation Outcomes and Treatments

Papers in

W-S Min

30 papers receiving 768 citations

Peers

W-S Min
Comparison fields: 5 of 54
  • Hematology 566
  • Transplantation 54
  • Genetics 103
  • Public Health, Environmental and Occupational Health 226
  • Immunology 130
Replace A Maruta with:
A Maruta Japan
Eugenia Giraldi Italy
Nobuyuki Aotsuka Japan
Tokiko Nagamura Japan
C-C Kim South Korea
E.D. Agura United States
A Iriondo Spain
Bengt Sallerfors Sweden
Bilal Mohty France
Douglas Rizzo United States
W-S Min relative to A Maruta Japan A Maruta's profile →
Citations per field
00.5×1.5×2.4×
A Maruta · 1×
Citations per year

Countries citing papers authored by W-S Min

Since Specialization
Citations

This map shows the geographic impact of W-S Min's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by W-S Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W-S Min more than expected).

Fields of papers citing papers by W-S Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W-S Min. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by W-S Min. The network helps show where W-S Min may publish in the future.

Co-authors

The 25 scholars most cited alongside W-S Min, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with W-S Min Line = papers co-authored together W-S Min links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200892
2 201282
3 201273
4 200857
5 200056
6 201556
7 200955
8 200452
9 201431
10 201020
11 200420
12 201318
13 201617
14 201417
15 201614
16 199714
17 201212
18 200712
19 201512
20 201211

About W-S Min

W-S Min is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Oncology, Epidemiology and Rheumatology, having authored 30 papers that have together received 782 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (14 papers), Acute Myeloid Leukemia Research (13 papers), Acute Lymphoblastic Leukemia research (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Polyomavirus and related diseases (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Vascular Tumors and Angiosarcomas (3 papers) and Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Hematology (566 citations), Transplantation (54 citations), Genetics (103 citations), Public Health, Environmental and Occupational Health (226 citations) and Immunology (130 citations). W-S Min has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include YJ Kim, JW Lee, K-S Eom, C-C Kim, B-S Cho, C-K Min, Se Lee, Seung‐Hwan Lee, Myungshin Kim and Jong Kook Park. Their work appears in journals such as Bone Marrow Transplantation, Leukemia, Blood Cancer Journal, British Journal of Cancer and PubMed.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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